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Noise reduction method based on generalized subtractive beamformer

机译:基于广义减法波束形成器的降噪方法

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References(18) Combating noise signals is still a very important and challenging research topic. Previously, we presented a subtractive-beamformer-based noise reduction algorithm using paired microphones, which was shown to be effective in reducing directional noise. However, its basic assumption, namely a perfectly coherent noise field, is generally not satisfied in real-world environments. In this paper, we develop a general expression for the original algorithm we suggested earlier, on the basis of a generalized subtractive beamformer and by relaxing the strict assumption to that of an arbitrary noise field. Following ideas similar to those of the original algorithm, the generalized algorithm with a generalized sidelobe canceller (GSC)-like structure is derived. A theoretical analysis is then presented to show the linkage between this generalized algorithm and the original algorithm, and to show its noise reduction performance in theoretically defined noise fields. Finally, the superiority of the proposed noise reduction algorithm to other comparable algorithms was verified by experiments using multichannel recordings.
机译:参考文献(18)对抗噪声信号仍然是一个非常重要且具有挑战性的研究课题。以前,我们提出了一种使用成对麦克风的基于减法波束形成器的降噪算法,该算法被证明可有效减少定向噪声。但是,在现实环境中通常无法满足其基本假设,即完美相干的噪声场。在本文中,我们在广义减法波束形成器的基础上,通过放宽对任意噪声场的严格假设,为先前提出的原始算法开发了一个通用表达式。遵循与原始算法相似的思想,推导了具有类似广义旁瓣抵消器(GSC)结构的广义算法。然后进行了理论分析,以显示该广义算法与原始算法之间的联系,并展示其在理论上定义的噪声场中的降噪性能。最后,通过使用多通道录音的实验验证了所提出的降噪算法相对于其他可比算法的优越性。

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